Articles | Volume 8, issue 3
https://doi.org/10.5194/esd-8-529-2017
https://doi.org/10.5194/esd-8-529-2017
Research article
 | 
05 Jul 2017
Research article |  | 05 Jul 2017

Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

Ari Venäläinen, Mikko Laapas, Pentti Pirinen, Matti Horttanainen, Reijo Hyvönen, Ilari Lehtonen, Päivi Junila, Meiting Hou, and Heli M. Peltola

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by Editor) (10 May 2017) by Marcus Reckermann
AR by Ari Venäläinen on behalf of the Authors (19 May 2017)  Author's response    Manuscript
ED: Publish as is (08 Jun 2017) by Marcus Reckermann
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Short summary
The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.
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